基于离散随机动态规划和进化对策论的可持续生态系统规划
Sustainable Ecosystem Planning Based on Discrete Stochastic Dynamic Programming and Evolutionary Game Theory
摘要：
建立了黄土高原生态系统可持续规划的离散随机动态规划（SDP）模型，并运用演化对策模型对生态资源规划决策过程进行了分析。主要目的是从离散SDP和进化对策论的角度探索一种新的生态环境规划方法，并将其应用于水资源管理等生态资源规划问题。与以往的研究不同，SDP方法从统计学的角度出发，通过求解生态系统的转移概率矩阵，利用DP算法求解多个子系统之间的最优生态资源规划策略，并分析不同用户之间的决策影响。本文首先介绍了系统工程规划的应用背景和系统工程规划的概念。然后，简要概述了现有的理论分析可持续生态系统。以黄土高原中部地区为例，介绍了基于SDP的数学模型及其在水资源规划中的应用。最后，补充分析了在SE规划作为一个游戏玩不同用户之间的影响。
英文摘要：
This paper proposed a discrete stochastic dynamic programming (SDP) model for sustainable ecosystem (SE) planning of the Loess Plateau in Northwestern, China, and analyzed the ecological resource planning by the evolutionary game model in the decision-making process. The main objective is to explore a new approach of SE planning from a viewpoint of discrete SDP and evolutionary game theory, with a specific application in the area of ecological resource planning such as water management problems. In contrast to previous work, the proposed SDP method focuses on the transition probability matrix of the ecosystem in a statistic sense, and uses the DP algorithm to obtain the optimal ecological resource planning strategies among multi-subsystems, then analyzes impacts of decision between different users. Firstly, the application background and the concept of SE planning are introduced. Then, a brief overview of existing theory for analyzing sustainable ecosystem is presented. Furthermore, a SDP-based mathematical model and its application to water resource planning of central areas of Loess Plateau are presented as an example. Finally, supplementary analysis of impacts between different users in SE planning as a game playing is provided.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
